mirror of
https://github.com/wassname/ray.git
synced 2026-06-28 16:30:41 +08:00
Eric Liang
53641f1f74
* move more unit tests to bazel * move to avoid conflict * fix lint * fix deps * seprate * fix failing tests * show tests * ignore mismatch * try combining bazel runs * build lint * remove tests from install * fix test utils * better config * split up * exclusive * fix verbosity * fix tests class * cleanup * remove flaky * fix metrics test * Update .travis.yml * no retry flaky * split up actor * split basic test * split up trial runner test * split stress * fix basic test * fix tests * switch to pytest runner for main * make microbench not fail * move load code to py3 * test is no longer package * bazel to end
87 lines
2.4 KiB
Python
87 lines
2.4 KiB
Python
# coding: utf-8
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import json
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import numpy as np
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import time
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import logging
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import pytest
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import ray
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import ray.cluster_utils
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import ray.test_utils
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logger = logging.getLogger(__name__)
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def test_basic_gc(shutdown_only):
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ray.init(
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object_store_memory=100 * 1024 * 1024,
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use_pickle=True,
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_internal_config=json.dumps({
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"worker_heartbeat_timeout_milliseconds": 500,
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"raylet_max_active_object_ids": 1000
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}))
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@ray.remote
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def shuffle(input):
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return np.random.shuffle(input)
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@ray.remote
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class Actor(object):
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def __init__(self):
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# Hold a long-lived reference to a ray.put object. This should not
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# be garbage collected while the actor is alive.
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self.large_object = ray.put(
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np.zeros(25 * 1024 * 1024, dtype=np.uint8), weakref=True)
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def get_large_object(self):
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return ray.get(self.large_object)
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actor = Actor.remote()
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# Fill up the object store with short-lived objects. These should be
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# evicted before the long-lived object whose reference is held by
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# the actor.
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for batch in range(10):
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intermediate_result = shuffle.remote(
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np.zeros(10 * 1024 * 1024, dtype=np.uint8))
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ray.get(intermediate_result)
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# The ray.get below would fail with only LRU eviction, as the object
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# that was ray.put by the actor would have been evicted.
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ray.get(actor.get_large_object.remote())
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@pytest.mark.skip(reason="This test currently fails on Travis.")
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def test_pending_task_dependency(shutdown_only):
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ray.init(object_store_memory=100 * 1024 * 1024, use_pickle=True)
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@ray.remote
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def pending(input1, input2):
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return
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@ray.remote
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def slow():
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time.sleep(5)
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# The object that is ray.put here will go out of scope immediately, so if
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# pending task dependencies aren't considered, it will be evicted before
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# the ray.get below due to the subsequent ray.puts that fill up the object
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# store.
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np_array = np.zeros(40 * 1024 * 1024, dtype=np.uint8)
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oid = pending.remote(ray.put(np_array), slow.remote())
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for _ in range(2):
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ray.put(np_array)
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ray.get(oid)
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if __name__ == "__main__":
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import pytest
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import sys
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sys.exit(pytest.main(["-v", __file__]))
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